Modeling the Zeeman effect in high-altitude SSMIS  channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model

Larsson, Richard; Milz, Mathias; Rayer, Peter; Saunders, Roger; Bell, William; Booton, Anna; Buehler, Stefan A.; Eriksson, Patrick; John, Viju O.

doi:10.5194/amt-9-841-2016

Articles | Volume 9, issue 2

https://doi.org/10.5194/amt-9-841-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-841-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 2

Research article

|

03 Mar 2016

Research article |

| 03 Mar 2016

Modeling the Zeeman effect in high-altitude SSMIS channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model

Richard Larsson, Mathias Milz, Peter Rayer, Roger Saunders, William Bell, Anna Booton, Stefan A. Buehler, Patrick Eriksson, and Viju O. John

Viewed

Total article views: 4,106 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,072	1,890	144	4,106	164	205

HTML: 2,072
PDF: 1,890
XML: 144
Total: 4,106
BibTeX: 164
EndNote: 205

Views and downloads (calculated since 02 Oct 2015)

Month	HTML	PDF	XML	Total
Oct 2015	41	71	2	114
Nov 2015	18	16	2	36
Dec 2015	12	15	0	27
Jan 2016	19	6	0	25
Feb 2016	13	5	0	18
Mar 2016	85	30	3	118
Apr 2016	17	8	0	25
May 2016	21	11	0	32
Jun 2016	13	7	3	23
Jul 2016	11	5	2	18
Aug 2016	11	7	3	21
Sep 2016	13	6	0	19
Oct 2016	9	3	0	12
Nov 2016	7	3	0	10
Dec 2016	5	4	0	9
Jan 2017	11	3	0	14
Feb 2017	10	7	0	17
Mar 2017	17	11	1	29
Apr 2017	23	9	0	32
May 2017	18	15	0	33
Jun 2017	28	8	1	37
Jul 2017	16	10	0	26
Aug 2017	5	7	1	13
Sep 2017	11	11	0	22
Oct 2017	6	17	0	23
Nov 2017	13	29	0	42
Dec 2017	8	23	0	31
Jan 2018	6	30	0	36
Feb 2018	12	17	0	29
Mar 2018	11	24	0	35
Apr 2018	9	26	0	35
May 2018	11	28	0	39
Jun 2018	3	26	0	29
Jul 2018	5	25	0	30
Aug 2018	17	29	0	46
Sep 2018	9	17	0	26
Oct 2018	6	21	2	29
Nov 2018	12	28	1	41
Dec 2018	8	18	0	26
Jan 2019	4	20	3	27
Feb 2019	11	8	0	19
Mar 2019	6	22	0	28
Apr 2019	8	25	0	33
May 2019	9	24	1	34
Jun 2019	11	15	1	27
Jul 2019	2	17	0	19
Aug 2019	12	22	0	34
Sep 2019	10	22	0	32
Oct 2019	7	27	1	35
Nov 2019	13	19	0	32
Dec 2019	10	13	0	23
Jan 2020	11	4	1	16
Feb 2020	4	6	0	10
Mar 2020	3	11	0	14
Apr 2020	8	6	0	14
May 2020	11	5	1	17
Jun 2020	13	8	1	22
Jul 2020	32	18	12	62
Aug 2020	13	10	7	30
Sep 2020	11	13	0	24
Oct 2020	10	10	0	20
Nov 2020	12	9	2	23
Dec 2020	18	16	0	34
Jan 2021	27	17	0	44
Feb 2021	24	16	0	40
Mar 2021	18	14	1	33
Apr 2021	13	15	0	28
May 2021	17	20	1	38
Jun 2021	13	14	0	27
Jul 2021	6	10	1	17
Aug 2021	9	30	1	40
Sep 2021	7	31	0	38
Oct 2021	5	80	0	85
Nov 2021	15	53	1	69
Dec 2021	16	38	0	54
Jan 2022	12	15	0	27
Feb 2022	9	4	6	19
Mar 2022	10	16	0	26
Apr 2022	8	6	1	15
May 2022	4	7	0	11
Jun 2022	5	7	0	12
Jul 2022	10	4	0	14
Aug 2022	20	11	1	32
Sep 2022	9	12	1	22
Oct 2022	9	10	0	19
Nov 2022	10	7	1	18
Dec 2022	13	7	2	22
Jan 2023	11	12	1	24
Feb 2023	14	12	2	28
Mar 2023	13	3	1	17
Apr 2023	6	4	0	10
May 2023	48	11	0	59
Jun 2023	53	4	0	57
Jul 2023	41	7	1	49
Aug 2023	40	5	3	48
Sep 2023	36	11	2	49
Oct 2023	43	11	2	56
Nov 2023	23	10	1	34
Dec 2023	43	6	3	52
Jan 2024	37	11	1	49
Feb 2024	32	6	2	40
Mar 2024	39	15	2	56
Apr 2024	41	9	6	56
May 2024	16	12	5	33
Jun 2024	50	8	2	60
Jul 2024	11	8	3	22
Aug 2024	23	8	3	34
Sep 2024	5	5	0	10
Oct 2024	12	7	0	19
Nov 2024	5	7	1	13
Dec 2024	5	9	0	14
Jan 2025	8	14	0	22
Feb 2025	24	7	1	32
Mar 2025	7	11	1	19
Apr 2025	12	11	1	24
May 2025	17	10	3	30
Jun 2025	34	23	0	57
Jul 2025	16	19	3	38
Aug 2025	23	20	0	43
Sep 2025	44	15	1	60
Oct 2025	13	20	1	34
Nov 2025	28	34	4	66
Dec 2025	18	23	6	47
Jan 2026	32	31	12	75
Feb 2026	30	10	2	42
Mar 2026	11	11	0	22

Cumulative views and downloads (calculated since 02 Oct 2015)

Month	HTML	PDF	XML	Total
Oct 2015	41	71	2	114
Nov 2015	18	16	2	36
Dec 2015	12	15	0	27
Jan 2016	19	6	0	25
Feb 2016	13	5	0	18
Mar 2016	85	30	3	118
Apr 2016	17	8	0	25
May 2016	21	11	0	32
Jun 2016	13	7	3	23
Jul 2016	11	5	2	18
Aug 2016	11	7	3	21
Sep 2016	13	6	0	19
Oct 2016	9	3	0	12
Nov 2016	7	3	0	10
Dec 2016	5	4	0	9
Jan 2017	11	3	0	14
Feb 2017	10	7	0	17
Mar 2017	17	11	1	29
Apr 2017	23	9	0	32
May 2017	18	15	0	33
Jun 2017	28	8	1	37
Jul 2017	16	10	0	26
Aug 2017	5	7	1	13
Sep 2017	11	11	0	22
Oct 2017	6	17	0	23
Nov 2017	13	29	0	42
Dec 2017	8	23	0	31
Jan 2018	6	30	0	36
Feb 2018	12	17	0	29
Mar 2018	11	24	0	35
Apr 2018	9	26	0	35
May 2018	11	28	0	39
Jun 2018	3	26	0	29
Jul 2018	5	25	0	30
Aug 2018	17	29	0	46
Sep 2018	9	17	0	26
Oct 2018	6	21	2	29
Nov 2018	12	28	1	41
Dec 2018	8	18	0	26
Jan 2019	4	20	3	27
Feb 2019	11	8	0	19
Mar 2019	6	22	0	28
Apr 2019	8	25	0	33
May 2019	9	24	1	34
Jun 2019	11	15	1	27
Jul 2019	2	17	0	19
Aug 2019	12	22	0	34
Sep 2019	10	22	0	32
Oct 2019	7	27	1	35
Nov 2019	13	19	0	32
Dec 2019	10	13	0	23
Jan 2020	11	4	1	16
Feb 2020	4	6	0	10
Mar 2020	3	11	0	14
Apr 2020	8	6	0	14
May 2020	11	5	1	17
Jun 2020	13	8	1	22
Jul 2020	32	18	12	62
Aug 2020	13	10	7	30
Sep 2020	11	13	0	24
Oct 2020	10	10	0	20
Nov 2020	12	9	2	23
Dec 2020	18	16	0	34
Jan 2021	27	17	0	44
Feb 2021	24	16	0	40
Mar 2021	18	14	1	33
Apr 2021	13	15	0	28
May 2021	17	20	1	38
Jun 2021	13	14	0	27
Jul 2021	6	10	1	17
Aug 2021	9	30	1	40
Sep 2021	7	31	0	38
Oct 2021	5	80	0	85
Nov 2021	15	53	1	69
Dec 2021	16	38	0	54
Jan 2022	12	15	0	27
Feb 2022	9	4	6	19
Mar 2022	10	16	0	26
Apr 2022	8	6	1	15
May 2022	4	7	0	11
Jun 2022	5	7	0	12
Jul 2022	10	4	0	14
Aug 2022	20	11	1	32
Sep 2022	9	12	1	22
Oct 2022	9	10	0	19
Nov 2022	10	7	1	18
Dec 2022	13	7	2	22
Jan 2023	11	12	1	24
Feb 2023	14	12	2	28
Mar 2023	13	3	1	17
Apr 2023	6	4	0	10
May 2023	48	11	0	59
Jun 2023	53	4	0	57
Jul 2023	41	7	1	49
Aug 2023	40	5	3	48
Sep 2023	36	11	2	49
Oct 2023	43	11	2	56
Nov 2023	23	10	1	34
Dec 2023	43	6	3	52
Jan 2024	37	11	1	49
Feb 2024	32	6	2	40
Mar 2024	39	15	2	56
Apr 2024	41	9	6	56
May 2024	16	12	5	33
Jun 2024	50	8	2	60
Jul 2024	11	8	3	22
Aug 2024	23	8	3	34
Sep 2024	5	5	0	10
Oct 2024	12	7	0	19
Nov 2024	5	7	1	13
Dec 2024	5	9	0	14
Jan 2025	8	14	0	22
Feb 2025	24	7	1	32
Mar 2025	7	11	1	19
Apr 2025	12	11	1	24
May 2025	17	10	3	30
Jun 2025	34	23	0	57
Jul 2025	16	19	3	38
Aug 2025	23	20	0	43
Sep 2025	44	15	1	60
Oct 2025	13	20	1	34
Nov 2025	28	34	4	66
Dec 2025	18	23	6	47
Jan 2026	32	31	12	75
Feb 2026	30	10	2	42
Mar 2026	11	11	0	22

Latest update: 19 Mar 2026

Short summary

By modeling the Special Sensor Microwave Imager/Sounder's mesospheric measurements, inversions methods can be applied to retreive mesospheric temperatures. We compare the fast forward model used by Met Office with reference simulations and find that there is a reasonable agreement between both models and measurements. Thus we recommend that the fast model is used in data assimilation to improve mesospheric temperature retrievals.